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Remote Ai Data Collection Jobs in Ohio (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Analyst

Beavercreek, OH · On-site +1

$61K - $141K/yr

Remote Work: Yes Job Number: R0242373 Location: Beavercreek,OH,US Share job via: Share Data Analyst ... Experience with data collection systems and data collection strategies * Ability to logically ...

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Remote Ai Data Collection information

What are the key skills and qualifications needed to thrive as a Remote AI Data Collection Specialist, and why are they important?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are some common challenges faced in a Remote AI Data Collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.
What are the most commonly searched types of Ai Data Collection jobs in Ohio? The most popular types of Ai Data Collection jobs in Ohio are:
What are popular job titles related to Remote Ai Data Collection jobs in Ohio? For Remote Ai Data Collection jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Collection jobs in Ohio look for? The top searched job categories for Remote Ai Data Collection jobs in Ohio are:
What cities in Ohio are hiring for Remote Ai Data Collection jobs? Cities in Ohio with the most Remote Ai Data Collection job openings:
Remote Ai Data Collection jobs near you
R&D Software Engineer -- AI/ML Mission Solutions

R&D Software Engineer -- AI/ML Mission Solutions

Rackner

Dayton, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

R&D Software Engineer — AI/ML Mission Solutions

Location: United States
Work Model: Remote
Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions
Clearance: U.S. citizenship required. Active Secret clearance preferred; candidates must be eligible to obtain and maintain a U.S. government security clearance.

Build AI/Data Capabilities for Mission-Focused R&D

Rackner is hiring an R&D Software Engineer — AI/ML Mission Solutions to help build, prototype, validate, and improve AI/data-driven software capabilities for defense-relevant use cases.

This is a hands-on R&D role for an engineer who enjoys solving hard problems across software, data, AI/ML, algorithms, RAG, agentic systems, simulation, or pipeline workflows. You will work with Rackner's internal R&D team to turn ambiguous ideas, operational needs, and user feedback into working technical capabilities.

We are not looking for one person to be an expert in every area. The strongest candidates bring one deep technical lane — such as AI/ML systems, RAG/agentic workflows, data pipelines, Python/Go development, Kubernetes/deployable systems, MLOps, or algorithmic software — plus enough working knowledge in adjacent areas to contribute in a fast-moving R&D environment.

This is not a traditional sales role and not a platform-only engineering role. Kubernetes, Terraform, cloud, CI/CD, and DevSecOps are helpful, but the main focus is software engineering, AI/data systems, algorithmic problem-solving, validation, and R&D execution.

What You'll Do

  • Design, prototype, test, and refine AI/data-driven software capabilities for mission-focused use cases
  • Build software for AI/ML experimentation, RAG or agentic workflows, model integration, simulation, data pipelines, and applied R&D prototypes
  • Develop and improve data workflows, schema transformations, JSON workflows, APIs, backend services, and integration layers
  • Support AI/ML workflows including inference, evaluation, deployment, monitoring, and model-serving patterns
  • Validate outputs through testing, data quality checks, evaluation methods, debugging, monitoring, and failure analysis
  • Troubleshoot complex issues across software, data, model, and integration layers
  • Work with engineers and technical leadership to assess tradeoffs, identify constraints, and improve solution design
  • Participate in technical demos, R&D events, mission-user discussions, and feedback cycles as needed
  • Convert stakeholder or mission feedback into actionable technical steps
  • Clearly explain technical concepts to engineering teams, program stakeholders, customers, and mission users

What You'll Bring

  • Strong software engineering background with hands-on experience building, testing, debugging, and improving modern systems
  • Proficiency in Python, Go, C++, Java, SQL, or a similar language used for backend, data, AI/ML, or algorithmic work
  • Hands-on depth in at least one relevant area: AI/ML systems, RAG, agentic development, LangChain, data pipelines, MLOps, algorithmic software, simulation, or deployable systems
  • Ability to clearly explain what you personally built, how the system worked, what broke, how you validated it, and what impact it had
  • Familiarity with real-world data workflows, including data sources, APIs, schemas, transformations, databases, files, events, or logs
  • Comfort working in fast-paced environments with evolving requirements
  • Willingness to travel approximately 15% for R&D events, demos, collaboration sessions, or customer and mission engagements

Experience That Stands Out

  • DoD, Air Force, Platform One, Big Bang, mission planning, C2, ISR, autonomy, or defense technology experience
  • AI/ML systems, applied AI workflows, RAG, agentic development, LangChain, model integration, evaluation, deployment, serving, registry, or monitoring
  • MLOps tools or workflows such as MLflow, SageMaker, Databricks, Kubeflow, Airflow, Dagster, Prefect, or similar tools
  • Data pipelines, ETL/ELT workflows, schema transformations, JSON transformations, dbt pipelines, or messy data integration workflows
  • Data validation, data quality checks, pipeline monitoring, failure handling, debugging, or observability for data/model workflows
  • Algorithms, optimization, simulation, scientific computing, applied mathematics, physics-informed software, computer vision, autonomy, or robotics
  • Python, Go, C++, SQL, PyTorch, TensorFlow, scikit-learn, FastAPI, Postgres, or related software/data/AI tooling
  • Technical demos, pilots, field exercises, workshops, briefings, or customer / mission-user discussions
  • Cloud, Docker, Kubernetes, Terraform, CI/CD, DevSecOps, ATO, or secure delivery experience

About Rackner

Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions.

Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.

Benefits & Perks

Rackner invests in its people, because when you grow, we all win.

  • Company-supported certifications aligned to current and future program work, including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and related technical areas
  • Clear advancement tracks and future leadership opportunities
  • 401(k) with 100% match up to 6%
  • Comprehensive medical, dental, vision, life, and disability coverage
  • Generous PTO and paid holidays
  • Home-office equipment plan and remote work support
  • Fitness and wellness reimbursement
  • Weekly pay schedule and modern perks, including team events

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.